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Operation Aptitude

In Development, Evolved

Evolved to InLearning

A mastery-based assessment framework that goes beyond grades—leveraging “environment” classroom clues (participation patterns, behavioral signals, engagement metrics) to model each student’s probability of success and guide personalized interventions.

The Gap

Traditional grading overlooks environmental factors and mastery signals, offering only reactive snapshots of student performance without predicting or guiding future success.

Introducing

Predictive mastery assessment engine

By blending environmental cues with mastery metrics, Aptitude transforms assessment from a static snapshot into a dynamic roadmap—anticipating challenges and personalizing interventions before students fall behind.

Core functionality

Captures environment signals (participation, engagement, behaviors)

Feeds them into a nested, gear-driven statistical model

Quantifies mastery likelihood with both numeric and narrative scores

Automatically surfaces targeted support recommendations

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The spark

Our team saw students unfairly judged by rigid grading parameters that ignored their real strengths.

We’re partnering on research that layers mastery signals (participation, behavior, engagement) atop grades to better predict and boost success.

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